11,545 research outputs found
Enhancing Trust Management in Cloud Environment
AbstractTrust management has been identified as vital component for establishing and maintaining successful relational exchanges between e-commerce trading partners in cloud environment. In this highly competitive and distributed service environment, the assurances are insufficient for the consumers to identify the dependable and trustworthy Cloud providers. Due to these limitations, potential consumers are not sure whether they can trust the Cloud providers in offering dependable services. In this paper, we propose a multi-faceted trust management system architecture for cloud computing marketplaces, to support customers in identifying trustworthy cloud providers. This paper presents the important threats to a trust system and proposed a method for tackling these threats. It described the desired feature of a trust management system. It security components to determine the trustworthiness of e- commerce participants to helps online customers to decide whether or not to proceed with a transaction. Based on this framework, we proposed an approach for filtering out malicious feedbacks and a trust metric to evaluate the trustworthiness of service provider. Results of various simulation experiments show that the proposed multi-attribute trust management system can be highly effective in identifying risky transaction in electronic market places
Analysis of Emerging Reputation and Funding Mechanisms in the Context of Open Science 2.0
This report covers the outcomes of two studies funded by JRC IPTS to explore emerging drivers for Open Science 2.0. In general, Open Science 2.0 is associated with themes such as open access to scientific outputs, open data, citizen science and open peer evaluation systems. This study, however, focused on less explored themes, namely on alternative funding mechanisms for scientific research and on emerging reputation mechanisms for scholars resulting from Web 2.0 platforms and applications. It has been demonstrated that both are providing significant new opportunities for researchers to disseminate, share, explore and collaborate with other researchers, but it remains to be seen whether they will be able to bring about more disruptive change in how science and research systems function in the future. They could well do so, especially if related changes being considered by the European Commission on âScience 2.0: Science in Transitionâ are taken into account.JRC.J.3-Information Societ
CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap
After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in
multimedia search engines, we have identified and analyzed gaps within European research effort during our second year.
In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio-
economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown
of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on
requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the
community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our
Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as
National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core
technological gaps that involve research challenges, and âenablersâ, which are not necessarily technical research
challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal
challenges
Impact of CSR perceptions on workersâ innovative behaviour: exploring the social exchange process and the role of perceived external prestige
The study aims to show how organisational corporate social responsibility (CSR) can influence workersâ attitudes, especially in terms of innovative behaviour (IB). A second aim is to explore the social exchange
process that may underlie this relationship, by examining the mediating role of organisational trust (OT), affective commitment (AC) and happiness (HAP), and the moderating role of perceived external prestige (PEP). The authors employ structural equation modelling based on survey data obtained from 315
Portuguese individuals. The findings show that perceptions of CSR predict IB through a social exchange process which involves the mediating role of OT, AC and HAP and the moderating process of PEP. They suggest that managers should implement CSR practices because these can contribute towards
fostering IB, but that they should also invest in communication and in the process of upgrading corporate image. This study enriches the existing knowledge about social exchange relationships in organisational contexts, and responds to the need to understand underlying mechanisms linking CSR with workersâ organisational outcomes, by analysing CSR practices from a holistic stakeholder perspective.info:eu-repo/semantics/publishedVersio
RECOMMENDING SERVICES IN A DIFFERNTIATED TRUST-BASED DECENTRALIZED USER MODELING SYSTEM
Trust and reputation mechanisms are often used in peer-to-peer networks, multi-agent systems and online communities for trust-based interactions among the users. Trust values are used to differentiate among members of the community as well as to recommend service providers. Although different users have different needs and expectations in different aspects of the service providers, traditional trust-based models do not use trust values on neighbors for judging different aspects of service providers. In this thesis, I use multi-faceted trust models for users connected in a network who are looking for suitable service providers according to their preferences. Each user has two sets of trust values: i) trust in different aspects of the quality of service providers, ii) trust in recommendations provided for these aspects. These trust models are used in a decentralized user modeling system where agents (representing users) have different preference weights in different criteria of service providers. My approach helps agents by recommending the best possible service provider for each agent according to its preferences. The approach is evaluated by conducting simulation on both small and large social networks. The results of the experiments illustrate that agents find better matches or more suitable service providers for themselves using my trust-based recommender system without the help of any central server. To the best of my knowledge this is the first system that uses multi-faceted trust values both in the qualities of service-providers and in other usersâ ability to evaluate these qualities of service providers in a decentralized user modeling system
Dynamical trust and reputation computation model for B2C E-Commerce
Trust is one of the most important factors that influence the successful application of network service environments, such as e-commerce, wireless sensor networks, and online social networks. Computation models associated with trust and reputation have been paid special attention in both computer societies and service science in recent years. In this paper, a dynamical computation model of reputation for B2C e-commerce is proposed. Firstly, conceptions associated with trust and reputation are introduced, and the mathematical formula of trust for B2C e-commerce is given. Then a dynamical computation model of reputation is further proposed based on the conception of trust and the relationship between trust and reputation. In the proposed model, classical varying processes of reputation of B2C e-commerce are discussed. Furthermore, the iterative trust and reputation computation models are formulated via a set of difference equations based on the closed-loop feedback mechanism. Finally, a group of numerical simulation experiments are performed to illustrate the proposed model of trust and reputation. Experimental results show that the proposed model is effective in simulating the dynamical processes of trust and reputation for B2C e-commerce
Trust and reputation management in decentralized systems
In large, open and distributed systems, agents are often used to represent users and act on their behalves. Agents can provide good or bad services or act honestly or dishonestly. Trust and reputation mechanisms are used to distinguish good services from bad ones or honest agents from dishonest ones. My research is focused on trust and reputation management in decentralized systems. Compared with centralized systems, decentralized systems are more difficult and inefficient for agents to find and collect information to build trust and reputation.
In this thesis, I propose a Bayesian network-based trust model. It provides a flexible way to present differentiated trust and combine different aspects of trust that can meet agentsâ different needs. As a complementary element, I propose a super-agent based approach that facilitates reputation management in decentralized networks. The idea of allowing super-agents to form interest-based communities further enables flexible reputation management among groups of agents. A reward mechanism creates incentives for super-agents to contribute their resources and to be honest. As a single package, my work is able to promote effective, efficient and flexible trust and reputation management in decentralized systems
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